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A company is building data processing pipelines by using AWS Glue.

A company is building data processing pipelines by using AWS Glue. The pipelines access data stored in Amazon S3. The company has organized the data into folders with prefixes that represent different classification levels. The company needs to restrict AWS Glue jobs to access only specific prefixes based on the data classification. The company must also restrict access to business hours (9 AM to 5 PM).

Which elements must the company include in a custom IAM policy to meet these requirements?

A.

A Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the $util.time variable with TimeGreaterThan and TimeLessThan operators.

B.

A Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the aws:CurrentTime condition key with DateGreaterThan and DateLessThan operators.

C.

A Condition element that uses the s3:prefix condition key to restrict folder access and aws:CurrentTime with DateGreaterThanEquals and DateLessThanEquals to restrict hours of operation.

D.

A Condition element that uses the s3:ResourceAccount condition key to restrict bucket access and a Deny statement that applies outside of business hours.

Amazon Web Services Data-Engineer-Associate Summary

  • Vendor: Amazon Web Services
  • Product: Data-Engineer-Associate
  • Update on: Jul 26, 2026
  • Questions: 302
Price: $52.5  $149.99
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